Optimization

Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017 Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017 Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017 Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers CVPR 2017 Temporal Planning for Compilation of Quantum Approximate Optimization Circuits IJCAI 2017 Tensor Balancing on Statistical Manifold ICML 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 Accelerating Stochastic Composition Optimization NeurIPS 2016 Adaptive Averaging in Accelerated Descent Dynamics NeurIPS 2016 A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016 A Multi-Batch L-BFGS Method for Machine Learning NeurIPS 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 Assortment Optimization Under the Mallows model NeurIPS 2016 Black-box Optimization with a Politician ICML 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NeurIPS 2016 Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016